Document Detail


Fitting multivariate polynomial growth curves in two-period crossover designs.
MedLine Citation:
PMID:  8047745     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We discuss the statistical analysis of data from two clinical trials using crossover designs. In both studies, response was observed repeatedly over time in each treatment period. The first study involves repeated measurements of a single response variable whereas the second involves bivariate response. Methods are described for fitting polynomial growth curves to achieve data reduction in a two-stage approach to the analysis of crossover designs. Thus, a multivariate parametric analysis frequently can be conducted even when the sample sizes are somewhat small as is the case in many crossover designs. Hypotheses that are usually of interest in crossover designs can be tested in the second stage of the analysis. Methods for testing the multivariate general linear hypothesis as a basis for statistical inference in such problems are discussed.
Authors:
J M Grender; W D Johnson
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  13     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  1994 May 
Date Detail:
Created Date:  1994-08-30     Completed Date:  1994-08-30     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  931-43     Citation Subset:  IM    
Affiliation:
Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393.
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MeSH Terms
Descriptor/Qualifier:
Allium
Clinical Trials as Topic / statistics & numerical data*
Collagen / administration & dosage
Coronary Disease / blood,  diet therapy
Humans
Intraocular Pressure / drug effects
Multivariate Analysis*
Ophthalmic Solutions
Triglycerides / blood
Vehicles
Chemical
Reg. No./Substance:
0/Ophthalmic Solutions; 0/Triglycerides; 0/Vehicles; 9007-34-5/Collagen

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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